python opencv实现运动检测

本文实例为大家分享了python opencv运动检测的具体代码,供大家参考,具体内容如下

# -*- coding:utf-8 -*-

__author__ = 'kingking'

__version__ = '1.0'

__date__ = '14/07/2017'

import cv2

import numpy as np

import time

camera = cv2.VideoCapture(0) # 参数0表示第一个摄像头

# 判断视频是否打开

if (camera.isOpened()):

print('Open')

else:

print('摄像头未打开')

background = cv2.imread('img.png',0)#读入一幅图像

es = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (9, 4))

while True:

# 按'q'健退出循环

key = cv2.waitKey(1) & 0xFF

# 读取视频流

grabbed, img = camera.read()

gray1 = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

gray = cv2.GaussianBlur(gray1, (21, 21), 0)#可在这添加处理程序

#!!!等相机稳定后按下W选择背景

if key == ord('w'):

background = gray

print '背景已选定'

diff = cv2.absdiff(gray, background)

binary = cv2.threshold(diff, 25, 255, cv2.THRESH_BINARY)[1]#二值化阈值处理

dilation = cv2.dilate(binary, es, iterations=2) # 形态学膨胀<--可在这添加处理程序

contours, hierarchy = cv2.findContours(dilation.copy(), cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

for c in contours:

# 对于矩形区域,只显示大于给定阈值的轮廓,所以一些微小的变化不会显示。

if cv2.contourArea(c) < 1500:

continue

(x, y, w, h) = cv2.boundingRect(c) # 该函数计算矩形的边界框

cv2.rectangle(img, (x, y), (x+w, y+h), (0, 255, 0), 2)

cv2.imshow('img', img)

cv2.imshow('dilation', dilation)

if key == ord('q'):

break

camera.release()#ubuntu一定要释放相机资源否则要重启才能再次使用

cv2.destroyAllWindows()

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